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Project Overview This repository contains the code and resources for a facial expression recognition system using artificial intelligence (AI). The project aims to develop a robust and accurate model that can detect and classify human emotions from facial expressions in real-time.

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VaradScript/FaceXprso

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Facexpreso

Python - Facexpreso MIT License Python Version Face-api.js library GitHub Issues GitHub Pull Requests GitHub Stars Profile Views GitHub Download

Project Overview

Facexpreso is a facial expression recognition system utilizing artificial intelligence (AI) to detect and classify human emotions from facial expressions in real-time. This project aims to develop a robust and accurate model that can be applied in various fields such as human-computer interaction, mental health monitoring, and behavioral analysis.

Features

  • Real-Time Emotion Detection: Classifies emotions in real-time using a live video feed.
  • Photo Upload and Analysis: In process...
  • Modular Design: Easy to extend with additional emotion recognition models or features.
  • Responsive UI: A user-friendly interface for seamless interaction.

Installation

To set up the project locally, follow these steps:

  1. Clone the repository:
    git clone https://github.com/varadarajdganiga777/FaceXprso.git
  2. Navigate to the project directory:
    cd main.html
  3. direct run the main.html or index.html .

Usage

  • Live Detection: Start the application and allow camera access. The system will begin analyzing your facial expressions in real-time.
  • Photo Upload:In process....

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

We welcome contributions to Facexpreso! Please see the Contributing Guidelines for more information...

0x_varadacode haydenbanz

Contact

For any inquiries, feel free to contact the project maintainer via GitHub Issues.


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Project Overview This repository contains the code and resources for a facial expression recognition system using artificial intelligence (AI). The project aims to develop a robust and accurate model that can detect and classify human emotions from facial expressions in real-time.

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